Gijsbrechts, Joren

Joren Gijsbrechts is an assistant professor in Operations Management. Prior to obtaining his doctoral degree from KU Leuven in Belgium, he attained business experience in the Supply Chain and Operations division of Procter and Gamble in Sweden. His research primarily focuses on data-driven decision making in Operations Management, with a particular interest in the recent advancements in Machine Learning and Prescriptive Analytics. Currently, he is working on combining Machine Learning, Robust Optimization and large-scale simulation techniques to develop data-driven algorithms. His models have assisted companies from the telecommunications and consumer goods industry to improve their decision making. In addition to research, he is providing guest lectures and company workshops on the recent developments within Business Analytics